Daniela Liebsch
Impact in
- Plant Science top 5%
- Plant Molecular Biology Research
- Plant Stress Responses and Tolerance
- Plant nutrient uptake and metabolism
- Light effects on plants
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- Plant Gene Expression Analysis
- Photosynthetic Processes and Mechanisms
- Plant Reproductive Biology
- Plant tissue culture and regeneration
Papers in
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- Plant Molecular Biology Research 8
- Plant nutrient uptake and metabolism 4
- Light effects on plants 1
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- Plant Gene Expression Analysis 5
- Plant Reproductive Biology 4
- Photosynthetic Processes and Mechanisms 3
- Co-authors
- Javier F. Palatnik (3 shared papers)Olivier Keech (4 shared papers)Wim Verelst (1 shared paper)Michiel Kwantes (1 shared paper)James Whelan (2 shared papers)Bastiaan Brouwer (2 shared papers)Simon R. Law (2 shared papers)Nicolas Rouhier (2 shared papers)
In The Last Decade
Daniela Liebsch
10 papers receiving 636 citations
Peers
Comparison fields: 5 of 59
- Plant Science 552
- Molecular Biology 415
- Ecology, Evolution, Behavior and Systematics 30
- Agronomy and Crop Science 13
- Biochemistry 9
Countries citing papers authored by Daniela Liebsch
This map shows the geographic impact of Daniela Liebsch's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Daniela Liebsch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Liebsch more than expected).
Fields of papers citing papers by Daniela Liebsch
This network shows the impact of papers produced by Daniela Liebsch. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Daniela Liebsch. The network helps show where Daniela Liebsch may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniela Liebsch, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 155 | |
| 2 | 2016 | 142 | |
| 3 | 2016 | 88 | |
| 4 | 2014 | 86 | |
| 5 | 2011 | 77 | |
| 6 | 2019 | 36 | |
| 7 | 2022 | 23 | |
| 8 | 2023 | 18 | |
| 9 | 2025 | 6 | |
| 10 | 2021 | 6 |
About Daniela Liebsch
Daniela Liebsch is a scholar working on Plant Science, Molecular Biology, Clinical Biochemistry, Biochemistry and Renewable Energy, Sustainability and the Environment, having authored 10 papers that have together received 637 indexed citations. Recurring topics across this work include Plant Molecular Biology Research (8 papers), Plant Gene Expression Analysis (5 papers), Plant nutrient uptake and metabolism (4 papers), Plant Reproductive Biology (4 papers), Photosynthetic Processes and Mechanisms (3 papers), Metalloenzymes and iron-sulfur proteins (1 paper), Light effects on plants (1 paper) and Biochemical Acid Research Studies (1 paper). The work is most often cited by research in Plant Science (552 citations), Molecular Biology (415 citations), Ecology, Evolution, Behavior and Systematics (30 citations), Agronomy and Crop Science (13 citations) and Biochemistry (9 citations). Daniela Liebsch has collaborated with scholars based in Sweden, Argentina and Germany. Frequent co-authors include Javier F. Palatnik, Olivier Keech, Wim Verelst, Michiel Kwantes, James Whelan, Bastiaan Brouwer, Simon R. Law, Nicolas Rouhier, Pernilla Lindén and Agnieszka Ziółkowska. Their work appears in journals such as PLANT PHYSIOLOGY, Molecular Biology and Evolution, Nature Plants, Journal of Experimental Botany and Development.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.